(SCTP Module) AI Foundations and Business Analytics: From Concepts to Insights
About This Course
As Artificial Intelligence (AI) becomes embedded in everyday workplace tools and workflows, professionals across all functions need both the conceptual grounding to understand what AI is doing and the practical skills to apply it effectively. This course bridges those two needs in a single, cohesive learning journey.
Learners will build a structured foundation in AI — covering machine learning, deep learning, large language models, generative AI, and agentic systems. The focus is on business relevance: how AI creates value, where it carries risk, and how to evaluate AI outputs critically and responsibly.
As a next step, learners immediately put those concepts into practice using Power Business Intelligence (BI)'s AI-assisted analytics environment. They will learn to transform structured data into interactive dashboards, interpret AI-driven insights such as trends and anomalies, assess data quality, and apply structured reasoning to support business reporting and decision-making.
What You'll Learn
2. Interpret AI use cases across business functions and evaluate AI-generated outputs for accuracy, bias, and reliability.
3. Apply structured prompting techniques to generate workplace-relevant outputs using generative AI tools.
4. Identify ethical, operational, and governance considerations when deploying AI in organisational contexts, including human-in-the-loop controls and AI risk categories.
5. Explain the principles of business intelligence and describe how AI-assisted analytics tools support data-informed decision-making.
6. Interpret interactive dashboards and structured visual reports, including AI-driven insights such as trends, correlations, and anomaly indicators.
7. Evaluate dashboard outputs for data quality issues, misleading visualisations, and interpretation risks using a structured insight evaluation framework.
8. Identify appropriate visualisation approaches for different business reporting scenarios within a Power Business Intelligence (BI) environment.
Entry Requirements
1. Diploma / GCE A Level qualification or relevant work experience
2. Basic digital literacy and familiarity with workplace applications
3. Prior exposure to Generative Artificial Intelligence (AI) concepts and Prompt Engineering at a foundational level